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G-buffer (Phase 1):
- Add NodeTypes GBUF_ALBEDO/DEPTH32/R8/RGBA32UINT to NodeRegistry
- GBufferEffect: MRT raster pass (albedo+normal_mat+depth) + pack compute
- Shaders: gbuf_raster.wgsl (MRT), gbuf_pack.wgsl (feature packing, 32B/px)
- Shadow/SDF passes stubbed (placeholder textures), CMake integration deferred
Training infrastructure (Phase 2):
- blender_export.py: headless EXR export with all G-buffer render passes
- pack_blender_sample.py: EXR → per-channel PNGs (oct-normals, 1/z depth)
- pack_photo_sample.py: photo → zero-filled G-buffer sample layout
handoff(Gemini): G-buffer phases 3-5 remain (U-Net shaders, CNNv3Effect, parity)
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Initialize CNN v3 subdirectory with training pipeline layout:
- docs/, scripts/, shaders/, src/, tools/, weights/ for organization
- training/input/ with sample images
- training/target_1/, target_2/ for multi-style training
- README.md documenting structure
Training images tracked in repo for easy collaboration.
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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